Crowd: A Social Network Simulation Framework

Crowd is a social network simulation framework which simplifies and fastens the process of developing agent-based models and simulations on networks.

Highlighted Features:

• Configuration files to set up simulations

• No-code diffusion simulations

• Interactive network visualization and chart generation with the graphical user interface

• Customized models with user-methods and class extensions

• Allowing the use of any Python library

• Running multiple simulations (with the same or different settings) and aggregating results

How Crowd operates:

Navigate to:

• Getting Started

• Introduction to Crowd

• Examples

• Contact

Citation

Please cite the following paper if you use Crowd:

Rende, A. N. N., Yilmaz, T., & Ulusoy, Ö., “Crowd: A Social Network Simulation Framework,” arXiv preprint arXiv:2412.10781, 2024.